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Paper Citation Record · LEDGER

Data Proportion Detection for Optimized Data Management for Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.17527.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.17527 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:13.396294Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T00:58:25.737546Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 68dc590d-b0ce-45ae-8687-5df83ffff971 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Data Proportion Detection for Optimized Data Management for Large Language Models

Reference 251

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:13.396294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.396294Z digest=sha256:8b12870fe3b9f9737c0ce761f0c6edd34f1823474c7c47331c59f22de9226e2a

Observation c1d2db91-9579-4ade-97a1-daf8d0a17145 · inbound

Data Mixing for Large Language Models Pretraining: A Survey and Outlook cites this paper.

Data Mixing for Large Language Models Pretraining: A Survey and Outlook Data Proportion Detection for Optimized Data Management for Large Language Models

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:58:25.739469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T00:56:04.958757Z digest=sha256:d1287a0e06609a6f0c6565ffbfb7584c3e55859997a93a1479eba6d1d27da281